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Use AI to plan, draft, and polish a blog post—not to replace reporting, expertise, or editorial review. A reliable workflow starts with a clear reader and source material, then moves through an outline, a reviewed draft, fact-checking, and publication. These nine steps turn that approach into a repeatable process.
1. Define the reader and the outcome
Before prompting an AI assistant, write down who the post is for, the question it should answer, and what readers should understand or do afterward. A specific assignment gives the model a useful target; “write about home Wi-Fi” is much less actionable than “help apartment renters identify why video calls drop and choose practical fixes they can try.”
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OpenAI Academy’s Writing with ChatGPT guidance recommends defining the assignment and audience, including what readers should do after seeing the piece.
2. Gather source material
Collect the material the article should rely on: first-party notes, interviews, documents, data, examples, and links to authoritative sources. Give the assistant those materials and explain which facts matter. Do not treat a model’s confident recollection as evidence; generative models can produce inaccuracies.
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Keep claims that need checking visible in your working draft. Google Search Central’s guidance on generative AI content warns about inaccuracies and calls for manual fact-checking before publication.
3. Choose an angle that adds value
Decide what the article will contribute beyond a summary of existing pages: original reporting, a useful explanation, analysis, a firsthand example, or a clearer way to solve the reader’s problem. Ask the AI for possible angles if useful, but choose one based on the evidence and audience—not merely because it sounds catchy.
Google’s people-first content guidance asks whether a page offers original information or analysis and substantial value beyond rewriting other sources.
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For a substantial post, ask for an outline first. Supply the audience, goal, intended format, voice, length range, required points, and exclusions. Tell the assistant to use only the supplied sources for factual claims, and to mark gaps rather than fill them with guesses.
Review the proposed order before asking for prose. An outline is cheaper to fix than a complete draft whose sections answer the wrong questions.
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5. Review and repair the outline
Check that the outline follows the reader’s questions in a sensible order and gives each important question room. Look for unsupported headings, missing steps, repeated ideas, and places where the article needs a human’s original insight. Remove or rework anything that cannot be supported by the material you gathered.
This is editorial work, not a request for the model to approve its own plan. OpenAI Academy recommends treating generated writing as a draft for review, while Google’s people-first guidance emphasizes originality and accuracy.
6. Draft one section at a time
Give the assistant the approved outline, relevant source notes, and instructions for a single section. Specify the format you need—such as a short explanation, a comparison table, or troubleshooting steps—and ask it not to introduce facts beyond the supplied material. Work section by section so you can catch errors and adjust the direction before they spread through the whole post.
OpenAI Academy recommends clear context, constraints, and focused iterations. Its general writing workflow is “Plan → Draft → Revise → Package.” Treat the resulting language as a starting point, not as finished copy.
7. Verify facts, numbers, and citations
Check every material factual claim against its original source, especially figures, dates, quotations, product details, and current policies. Open cited pages and confirm they support the claim as written; a citation that merely mentions the same subject is not enough. Remove claims you cannot establish, or qualify them clearly.
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Google Search Central states: “It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing.” Its generative AI content guidance also warns that publishing many pages without adding value may fall under its scaled-content-abuse policy. The aim is useful, accurate, original work—not volume for its own sake.
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.8. Revise for usefulness and voice
Make a human-led editing pass for clarity, structure, tone, and length. Replace generic language with concrete examples, explain technical terms readers may not know, and remove claims or filler that do not help answer the question. Add analysis or experience the sources support. If you ask the AI for another pass, give a focused instruction—such as shortening a section or clarifying its call to action—instead of asking vaguely for “better writing.”
OpenAI Academy recommends specific feedback during revision. Google’s people-first guidance centers original effort, accuracy, and usefulness to readers.
9. Prepare, review, and publish
Package the post for the site: write a specific headline, excerpt, and meta description; assign appropriate categories and tags; and check that links, images, and formatting work. Read the complete page once more in its published layout. Add context about AI assistance when readers would reasonably expect an explanation.
Learn WordPress’s publishing workflow lesson describes AI assistance at drafting, editing, and pre-publish stages, while stressing editorial review of generated suggestions. Google likewise recommends considering context about automated creation when readers may reasonably want it. For content created in part with the OpenAI API, OpenAI’s sharing and publication policy says to attribute the content to the author or company, clearly disclose AI’s role, and retain human responsibility for publication.
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